Sr Software Engineer

Job Summary


Responsibilities

• Own the end-to-end delivery of backend features, platform modules, and engineering initiatives from design through production.
• Design, develop, and maintain scalable backend services, distributed data pipelines, and ingestion frameworks that process data from multiple enterprise sources.
• Build and maintain production-grade Python web services and REST APIs using modern frameworks such as FastAPI, Flask, and Quart to support scalable backend applications and data ingestion services.
• Design and optimize distributed data processing pipelines using PySpark and SQL for large-scale data processing.
• Architect, build, and enhance scalable data ingestion frameworks that process structured and semi-structured data from enterprise APIs, databases, cloud storage, and multiple file formats.
• Drive improvements in platform scalability, reliability, observability, performance, and maintainability.
• Collaborate with Product Managers and Architects to translate business requirements into scalable technical solutions.
• Break down large engineering initiatives into deliverable work items and drive execution across the team.
• Perform code reviews, mentor junior engineers, and promote engineering best practices across the team.
• Troubleshoot complex production issues and lead root cause analysis to improve platform stability.
• Champion engineering excellence by adopting modern tools, AI-assisted development practices, and continuous improvement initiatives.

What You Will Bring

• 4-6 years of experience in backend engineering or data engineering, preferably in a scalable B2B SaaS product environment.
• Strong programming skills in Python, with experience building scalable backend applications.
• Hands-on experience building distributed data processing pipelines using PySpark.
• Strong SQL skills, including complex query development, query optimization, and relational database design.
• Strong experience developing REST APIs and Python web services using FastAPI, Flask, or Quart.
• Experience building scalable ETL/ELT pipelines and enterprise data ingestion frameworks.
• Experience working with cloud platforms such as Microsoft Azure (preferred) or AWS.
• Hands-on experience with Git, CI/CD, and modern software engineering practices.
• Strong debugging, performance tuning, and problem-solving skills.
• Proven experience independently delivering features, modules, or projects from requirements through production.
• Ability to estimate work, identify technical risks, and drive timely delivery.
• Strong ownership mindset with excellent collaboration and communication skills.
• Comfortable leveraging AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, and Claude to improve engineering productivity, code quality, debugging, and problem-solving.

What Will Make You Stand Out

• Experience working in a B2B SaaS, supply chain, compliance, or other data-intensive product company, preferably in a high-growth environment.
• Exposure to supply chain operations, compliance, or risk management domains.
• Experience working with modern cloud data platforms such as Databricks (preferred), Snowflake, and Lakehouse technologies, including Delta Lake.
• Experience designing scalable backend architectures and distributed systems.
• Exposure to one or more of the following technologies: Java, Kafka, Redis, Apache Airflow, or Kubernetes.
• Experience mentoring engineers and contributing to technical design discussions.

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